CN109977328A - A kind of URL classification method and device - Google Patents

A kind of URL classification method and device Download PDF

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Publication number
CN109977328A
CN109977328A CN201910168704.2A CN201910168704A CN109977328A CN 109977328 A CN109977328 A CN 109977328A CN 201910168704 A CN201910168704 A CN 201910168704A CN 109977328 A CN109977328 A CN 109977328A
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China
Prior art keywords
url
type
classification
web page
class library
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CN201910168704.2A
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Chinese (zh)
Inventor
黄晓炼
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Hangzhou DPTech Technologies Co Ltd
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Hangzhou DPTech Technologies Co Ltd
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Priority to CN201910168704.2A priority Critical patent/CN109977328A/en
Publication of CN109977328A publication Critical patent/CN109977328A/en
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Abstract

The application provides a kind of URL classification method and device.The application will be matched based on web page contents acquired in URL with predefined class library, classify according to the matched result to the URL, matched mode classification is carried out based on the corresponding web page contents of URL, URL can be matched comprehensively corresponds to each key word information involved in web page contents, the match condition to each keyword in class library according to web page contents, the corresponding classification for determining the URL, improves classification accuracy.

Description

A kind of URL classification method and device
Technical field
This application involves network technique fields, and in particular to a kind of URL classification method and device.
Background technique
With the rapid development of internet, web database technology sharply expands, this make webpage information it is a large amount of, extensive, point The characteristics of scattered equal not manageability, is more significant.The webpage information resource huge in face of data, needs to classify to webpage information It arranges, currently, the uniform resource locator (URL) of webpage is carried out the method that classification is more effective Web page classifying, arrangement One of.
It often uses in the prior art and the composition of URL is analyzed, thus classify according to analysis result, for example, The address URL that will acquire is compared with the regular expression bbs.XXX.com (cn) of setting or XXX.com (cn)/bbs, All successful match, then it is classified as bbs (forum).However, with URL constitute it is ever-changing so that the above method report by mistake The probability failed to report gradually rises, and classification is caused to be distorted.
Summary of the invention
In view of this, the application provides a kind of URL classification method and device, it can reduce and URL is matched in the related technology As a result wrong report, the case where failing to report, ensure that the accuracy of the assessment of the classification described in URL, improve classification effectiveness.
To achieve the above object, it is as follows to provide technical solution by the application:
It will be matched based on web page contents acquired in URL with predefined class library;
Classify according to the matched result to the URL.
According to a second aspect of the present application, a kind of URL classification device is proposed, comprising:
Matching unit will be matched based on web page contents acquired in URL with predefined class library;
First taxon classifies to the URL according to the matched result.
By above technical scheme as it can be seen that by the acquired corresponding web page contents of URL and predefined class library progress Match, to classify according to matched result to URL, carries out matched mode classification, energy based on the corresponding web page contents of URL Enough URL of matching comprehensively correspond to each key word information involved in web page contents, according to web page contents to each in class library The match condition of a keyword determines the corresponding classification of the URL, improves classification accuracy, realizes to URL's collected Effectively classification.
Detailed description of the invention
Fig. 1 is the flow chart according to one of one exemplary embodiment of the application URL classification method;
Fig. 2 is the flow chart according to another URL classification method in one exemplary embodiment of the application;
Fig. 3 is the schematic configuration diagram according to one of one exemplary embodiment of the application electronic equipment;
Fig. 4 is the block diagram according to one of one exemplary embodiment of the application URL classification device.
Specific embodiment
Example embodiments are described in detail here, and the example is illustrated in the accompanying drawings.Following description is related to When attached drawing, unless otherwise indicated, the same numbers in different drawings indicate the same or similar elements.Following exemplary embodiment Described in embodiment do not represent all embodiments consistent with the application.On the contrary, they be only with it is such as appended The example of the consistent device and method of some aspects be described in detail in claims, the application.
It is only to be not intended to be limiting the application merely for for the purpose of describing particular embodiments in term used in this application. It is also intended in the application and the "an" of singular used in the attached claims, " described " and "the" including majority Form, unless the context clearly indicates other meaning.It is also understood that term "and/or" used herein refers to and wraps It may be combined containing one or more associated any or all of project listed.
It will be appreciated that though various information, but this may be described using term first, second, third, etc. in the application A little information should not necessarily be limited by these terms.These terms are only used to for same type of information being distinguished from each other out.For example, not departing from In the case where the application range, the first information can also be referred to as the second information, and similarly, the second information can also be referred to as One information.Depending on context, word as used in this " if " can be construed to " ... when " or " when ... When " or " in response to determination ".
Uniform resource locator (Uniform Resource Locator, abbreviation URL) is to can obtain from internet The position of the resource arrived and a kind of succinct mark of access method, are the address of standard resource on internet, also referred to as net Page address, to be used to indicate the position of webpage.From the specific composition of URL, a URL often contains protocol information, clothes The information such as business device name, domain name, such as when a URL is http://www.***.com/index.html, just by the URL Would know that: the agreement contained in the URL is http hypertext transfer protocol, the entitled www.***.com in website, by server name Www and domain name * * * .com are formed, and the webpage under the root of URL is default web page index.html.
Analysis is carried out by the composition to URL in the related art or manually checks the address URL of acquired webpage, Classify to realize to URL.Such as: the regular expression bbs.XXX.com of the address URL and setting that will acquire or XXX.com (cn)/bbs is matched, all successful match, then is classified as bbs (forum), but in some compositions not Forum class URL containing bbs, then can not correctly be sorted out, thus in the ever-changing application scenarios of the composition of URL, The misinformation probability for carrying out matched classification method by regular expression is higher.And by manually checking accessed URL pairs The web page contents answered simultaneously are sorted out, although this method can guarantee certain accuracy rate, for a large amount of to be sorted URL in the case where, need to put into a large amount of artificial, recruitment cost is high and expends the time.
In view of this, the application provides a kind of URL classification method, exist to solve the relevant technologies when implementing URL classification The technical issues of.
With reference to the accompanying drawing, the specific embodiment of the application is described in detail.
For the application is further described, the following example is provided:
Fig. 1 is a kind of flow chart for URL classification method that one exemplary embodiment of the application provides, as shown in Figure 1, the party Method may comprise steps of:
Step 101, it will be matched based on web page contents acquired in URL with predefined class library.
Step 102, classify according to the matched result to the URL.
In one embodiment, the corresponding matching times of type that successful match in the class library can be counted, to work as When the corresponding matching times of any kind are more than preset threshold, the URL is subdivided into the type.
In the present embodiment, since web page contents often have the biggish text information of information content, thus based in webpage The information matches of appearance are involved in type more in class library, but the keyword of the purport information compared to web page contents, non- The number that the keyword of necessary web page content information is matched to also tends to be minority, so by setting certain threshold Value, so that only the corresponding classification type of matching times more than threshold value is avoided and is being based on as the corresponding classification of the URL The type being matched to during web page contents are matched by insignificant information carries out the interference of accurate match to URL.
In one embodiment, the corresponding matching times of type of the successful match in the class library can be counted, and will The highest type of matching times is determined as the corresponding classification type of URL to be matched in the class library.
Needing to URL carry out the matched application scenarios of precision in, by set threshold value to URL matching times into The method of row filtering not can guarantee the type that webpage URL is only matched to then, such as: it is analyzed in the content based on URL1 With the classification type and match condition for determining that the URL1 is matched in class library after matching are as follows: type A is matched to 10 times, type B be matched to 8 times, Type C be matched to 1 time, type D be matched to 4 times and type E and be matched to 18 times, then more than preset threshold value 5 times Classification type be related to type A, type B and type E, it is clear that the type that the URL1 is matched to has 3 kinds, and not precision 1 kind of matching requirement, thus can be used and the size of the matching times for the type being matched to is compared, most by matching times High type is determined as the corresponding classification type of URL to be matched.
In one embodiment, the URL can be subjected to classification storage according to the classification type, consequently facilitating subsequent reality Batch processing is carried out referring now to the URL of each classification, such as leads to web page contents related with a certain sensitive word blocking or putting Application scenarios in, the classification type of the sensitive word can be met by obtaining, thus realize to the URL based on the classification type into Row is uniformly processed, and improves treatment effeciency.
In one embodiment, can triggering collection url data according to the preset time interval, and will be in the url data The address URL be added in queue to be extracted, gradually parse the address URL in the queue to be extracted, and it is corresponding to record its Web page contents.
In the present embodiment, the acquisition by prefixed time interval automatic trigger to URL, and acquired URL is added Into queue to be extracted, it can trigger without manually extracting work and be analyzed URL to be resolved and recorded the URL Corresponding web page contents, form the acquisition about URL, parsing, matching and store integrated form categorizing system, improve for URL classification efficiency.
Through the foregoing embodiment, the acquired corresponding web page contents of URL are matched with predefined class library, from And classify according to matched result to URL, matched mode classification, Neng Gouquan are carried out based on the corresponding web page contents of URL Face matching URL corresponds to each key word information involved in web page contents, according to web page contents to each pass in class library The match condition of keyword determines the corresponding classification of the URL, improves classification accuracy, compensate for the defects of the relevant technologies.
With reference to the accompanying drawing, specific embodiments of the present invention are described in detail.
Refer to Fig. 2, Fig. 2 be according to the flow chart of another URL classification method in one exemplary embodiment of the application, The described method includes:
Step 201, URL is acquired according to the preset time interval.
In one embodiment, url data can be acquired from the URL memory space of any pre-configuration, it can also be to having obtained URL in the corresponding web page contents of the URL taken is acquired, or the URL on the website classified is acquired, this Apply to the specific acquisition source of URL without limitation.
In one embodiment, specific acquisition mode can be to be crawled or other can be realized pair by crawler technology In the technology that the URL of webpage is captured, the modes such as sniffer are borrowed, the application does not do the concrete mode for obtaining URL It limits.
Step 202, URL collected is added in queue to be extracted.
Step 203, the URL in the queue to be extracted is parsed, to obtain the corresponding web page contents of the URL.
In one embodiment, corresponding so as to obtain the URL by being parsed to the URL in queue to be extracted Web page contents, web page title or body matter etc. improve web page contents to carry out the matching analysis for web page contents Type matching it is comprehensive.
Step 204, it will be matched based on web page contents acquired in URL with predefined class library.
In one embodiment, if acquired URL can obtain the mark letter of the type containing the identification information of type Breath, and preliminary screening is carried out in the first class library, to define the second class library relevant to the mark of the type, thus logical The second class library is crossed to match the corresponding web page contents of URL.Such as URL collected are as follows: http://www.***.com/ Index.html, and obtaining the corresponding class indication information of * * * in the URL is A, then it can be before being matched, it can be preparatory Type M, type N, type are obtained after filtering out type information relevant to class indication A, such as screening in the first class library O, type P and type Q, thus the second class library conduct pair that usage type M, type N, type O, type P and type Q are constituted The corresponding web page contents of the URL carry out matched class library.
Through this embodiment, by being screened based on the already contg classification information of URL to the type in the first class library, It is wide compared to Type Range, large number of with composition and the more close matched Second Type library of the already contg classification information of URL The first class library, the second class library is because quantity is few, more close type information is realized and greatly reduces the consumption of matching process When technical effect, to improve matching efficiency.
Step 205, statistics corresponding matching times of the type of successful match in class library.
In one embodiment, URL classification library can be pre-configured with by administrator, or calls directly existing URL Class library;Further, between the identification information in class library containing keyword and the identification information of one or more types Corresponding relationship, so that when matching to web page contents occurrence can be gone out in web page contents by counting each keyword Number, to determine the matching times of keyword corresponding types.
Step 206, judge whether the matching refined, if not needing, carry out step 207, otherwise carry out Step 208.
Step 207, when the corresponding matching times of any kind are more than preset threshold, the URL is subdivided into the class In type.
In one embodiment, it can be respectively provided with same threshold value to each type information, or set respectively for each type Corresponding threshold value is set, the application is without limitation.
Step 208, the highest type of matching times in the class library is determined as the corresponding classification class in the address URL Type.
Step 209, the address URL is subjected to classification storage according to the classification type divided.
Step 210, the URL not being classified is judged whether there is, if so, carrying out step 211, otherwise terminates classification and matches It sets.
Step 211, the corresponding web page contents of URL that do not classify are shown.
Step 212, the classification setting of URL corresponding to the web page contents, return step 209 are received.
Through the foregoing embodiment, the automatic classification to URL is realized by the threshold value of setting, reduces inefficient artificial investment, The time is saved, is improved work efficiency.
Fig. 3 is the schematic configuration diagram according to one of one exemplary embodiment of the application electronic equipment.Referring to FIG. 3, In hardware view, which includes processor, internal bus, network interface, memory and nonvolatile memory, certainly It is also possible that hardware required for other business.Processor read from nonvolatile memory corresponding computer program to It is then run in memory, forms URL classification device on logic level.Certainly, other than software realization mode, the application is simultaneously It is not excluded for other implementations, such as logical device or the mode of software and hardware combining etc., that is to say, that following process flow Executing subject be not limited to each logic unit, be also possible to hardware or logical device.
Referring to FIG. 4, in Software Implementation, which may include:
Matching unit 401 will be matched based on web page contents acquired in URL with predefined class library;
First taxon 402 classifies to the URL according to the matched result.
Optionally, first taxon 402 is specifically used for:
First statistic unit 403 counts the corresponding matching times of type of successful match in the class library;
Second taxon 404 divides the URL when the corresponding matching times of any kind are more than preset threshold Enter in the type.
Optionally, further includes:
Second statistic unit 405, the successful corresponding matching times of type in the class library of statistical match;
Third taxon 406 determines that the highest type of matching times is that the address URL is corresponding in the class library Classification type.
Optionally, further includes:
The address URL is carried out classification storage according to the classification type by storage unit 407.
Optionally, further includes:
Acquisition unit 408, acquires URL according to the preset time interval;
The URL is added in queue to be extracted by supplementary units 409;
Resolution unit 410 parses the URL in the queue to be extracted, to obtain the corresponding web page contents of the URL.
Described device corresponds to the above method, and more identical details no longer repeat one by one.
In a typical configuration, calculating equipment includes one or more processors (CPU), input/output interface, net Network interface and memory.
Memory may include the non-volatile memory in computer-readable medium, random access memory (RAM) and/or The forms such as Nonvolatile memory, such as read-only memory (ROM) or flash memory (flash RAM).Memory is computer-readable medium Example.
Computer-readable medium includes permanent and non-permanent, removable and non-removable media can be by any method Or technology come realize information store.Information can be computer readable instructions, data structure, the module of program or other data. The example of the storage medium of computer includes, but are not limited to phase change memory (PRAM), static random access memory (SRAM), moves State random access memory (DRAM), other kinds of random access memory (RAM), read-only memory (ROM), electric erasable Programmable read only memory (EEPROM), flash memory or other memory techniques, read-only disc read only memory (CD-ROM) (CD-ROM), Digital versatile disc (DVD) or other optical storage, magnetic cassettes, tape magnetic disk storage or other magnetic storage devices Or any other non-transmission medium, can be used for storage can be accessed by a computing device information.As defined in this article, it calculates Machine readable medium does not include temporary computer readable media (transitory media), such as the data-signal and carrier wave of modulation.
For device embodiment, since it corresponds essentially to embodiment of the method, so related place is referring to method reality Apply the part explanation of example.The apparatus embodiments described above are merely exemplary, wherein described be used as separation unit The unit of explanation may or may not be physically separated, and component shown as a unit can be or can also be with It is not physical unit, it can it is in one place, or may be distributed over multiple network units.It can be according to actual The purpose for needing to select some or all of the modules therein to realize application scheme.Those of ordinary skill in the art are not paying Out in the case where creative work, it can understand and implement.
Although this specification includes many specific implementation details, these are not necessarily to be construed as the model for limiting any invention It encloses or range claimed, and is primarily used for describing the feature of the specific embodiment of specific invention.In this specification Certain features described in multiple embodiments can also be combined implementation in a single embodiment.On the other hand, individually implementing Various features described in example can also be performed separately in various embodiments or be implemented with any suitable sub-portfolio.This Outside, although feature can work in certain combinations as described above and even initially so be claimed, institute is come from One or more features in claimed combination can be removed from the combination in some cases, and claimed Combination can be directed toward the modification of sub-portfolio or sub-portfolio.
The foregoing is merely the preferred embodiments of the application, not to limit the application, all essences in the application Within mind and principle, any modification, equivalent substitution, improvement and etc. done be should be included within the scope of the application protection.

Claims (10)

1. a kind of URL classification method, which is characterized in that the described method includes:
It will be matched based on web page contents acquired in URL with predefined class library;
Classify according to the matched result to the URL.
2. method according to claim 1, which is characterized in that described to divide according to the matched result the URL Class, comprising:
Count the corresponding matching times of type of successful match in the class library;
When the corresponding matching times of any kind are more than preset threshold, the URL is subdivided into the type.
3. method according to claim 1 or claim 2, which is characterized in that further include:
The successful corresponding matching times of type in the class library of statistical match;
The highest type of matching times in the class library is determined as the corresponding classification type in the address URL.
4. method according to claim 1, which is characterized in that the method also includes:
The address URL is subjected to classification storage according to the classification type.
5. method according to claim 1, which is characterized in that the method also includes:
URL is acquired according to the preset time interval;
The URL is added in queue to be extracted;
The URL in the queue to be extracted is parsed, to obtain the corresponding web page contents of the URL.
6. a kind of URL classification device, which is characterized in that described device includes:
Matching unit will be matched based on web page contents acquired in URL with predefined class library;
First taxon classifies to the URL according to the matched result.
7. device according to claim 6, which is characterized in that first taxon, comprising:
First statistic unit counts the corresponding matching times of type of successful match in the class library;
The URL is subdivided into the class when the corresponding matching times of any kind are more than preset threshold by the second taxon In type.
8. device according to claim 1 or claim 2, which is characterized in that further include:
Second statistic unit, the successful corresponding matching times of type in the class library of statistical match;
Third taxon determines that the highest type of matching times is the corresponding classification class in the address URL in the class library Type.
9. device according to claim 1, which is characterized in that further include:
The address URL is carried out classification storage according to the classification type by storage unit.
10. device according to claim 1, which is characterized in that further include:
Acquisition unit acquires URL according to the preset time interval;
The URL is added in queue to be extracted by supplementary units;
Resolution unit parses the URL in the queue to be extracted, to obtain the corresponding web page contents of the URL.
CN201910168704.2A 2019-03-06 2019-03-06 A kind of URL classification method and device Pending CN109977328A (en)

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CN112579651A (en) * 2020-12-28 2021-03-30 北京浩瀚深度信息技术股份有限公司 Network information supervision method, device and storage medium
CN113518132A (en) * 2021-05-18 2021-10-19 北京天融信网络安全技术有限公司 Network address category identification method, device, equipment and storage medium

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